Machine Learning Engineer Lead
USA - Raleigh, NC (RDU), United States
USD 115K-192K Senior-level Full Time
Tasks
- Architect distributed machine learning systems
- Architect multi step reasoning systems
- Choose deterministic workflows versus autonomous agents
- Conduct design reviews
- Define and implement agentic frameworks
- Develop evaluation frameworks for reasoning quality
- Ensure compliance with data governance and responsible AI standards
- Establish CI CD standards for ML lifecycle management
- Establish engineering best practices for ML
- Implement guardrails and safety layers
- Implement traceability mechanisms
- Lead mentor and grow machine learning team
- Measure hallucination rates and reliability
- Plan technical roadmaps
- Provide architectural direction
- Provide code level guidance
- Standardize infrastructure patterns for LLM serving and retrieval
Perks/Benefits
Skills/Tech-stack
Agentic Systems | Artificial Intelligence | Autonomous Agents | CI/CD | Deterministic Workflows | Distributed Systems | Evaluation Frameworks | Hallucination detection | Language Models | Large Language Models | Machine Learning | Model Reliability | Multi-step reasoning | Retrieval-Augmented Generation | Safety Guardrails | System Architecture
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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